Nature Communications (Apr 2022)

Genomic and transcriptomic analysis of a library of small cell lung cancer patient-derived xenografts

  • Rebecca Caeser,
  • Jacklynn V. Egger,
  • Shweta Chavan,
  • Nicholas D. Socci,
  • Caitlin Byrne Jones,
  • Faruk Erdem Kombak,
  • Marina Asher,
  • Michael H. Roehrl,
  • Nisargbhai S. Shah,
  • Viola Allaj,
  • Parvathy Manoj,
  • Sam E. Tischfield,
  • Amanda Kulick,
  • Maximiliano Meneses,
  • Christine A. Iacobuzio-Donahue,
  • W. Victoria Lai,
  • Umeshkumar Bhanot,
  • Marina K. Baine,
  • Natasha Rekhtman,
  • Travis J. Hollmann,
  • Elisa de Stanchina,
  • John T. Poirier,
  • Charles M. Rudin,
  • Triparna Sen

DOI
https://doi.org/10.1038/s41467-022-29794-4
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 12

Abstract

Read online

Creating accurate models of small cell lung cancer is essential to ensure the clinical relevance of results. Here, the authors create patient derived xenograft models from 33 patients and show, through multi-omics sequencing, that these models retain the primary features of the original.